The datasets reflect a relatively simple energy storage problem depicted by (in its full form) one battery, a variable (but free) stochastic source (wind or solar), a limitless source at a random prices (from the grid), to serve a fairly predictable but time varying load. We visualiez the problem using

The Princeton energy storage benchmark datasets are a series of finite horizon problems that consist of four components:

A renewable source of energy (free, but variable and usually stochastic).

The power grid – an infinite supply of energy (and a market) at a random price.

A load – usuallly time dependent, usually stochastic.

A single storage device used to smooth out flows

Most of these problems use time-dependent processes. These might reflect a daily cycle for energy storage, or they are simply randomly generated from a time-dependent process.

The problems below include both deterministic and stochastic settings. The optimal benchmark for the deterministic problems was computed by solving the full problem as a linear program. The stochastic problems were solved as discrete Markov decision processes. A description of how to use the datasets is contained in

These datasets are based on the Salas storage datasets (above), but includes stochastic demands, and uses a more compact way of representing the optimal policy. The datasets, with complete software and documentation, can be downloaded from: